
Hi,
I'm Natasha
an ML Engineer
London, UK | (+44) 7380981449
I specialize in architecting Data Science and Machine Learning solutions. My expertise lies in developing predictive systems for fraud detection, customer behavioral analytics, and geospatial intelligence, as well as computational modeling and implementing LLM frameworks.
I am a Graduate Researcher at Imperial College London, finishing my MSc in Applied Computational Science & Engineering.
I am currently seeking Senior Data Science or Applied AI roles (September 2026 start), looking for Remote (Global/APAC) opportunities based in Indonesia.
My technical core focuses on predictive modeling, end-to-end ML pipelines, and cloud-native deployments. I specialize in bridging the gap between complex data analysis and production-ready AI solutions.
I combine data-driven insights, automation, and scalable deployment for AI/ML applications. Here's what I did in my previous roles:
Or read here for a summary of my expertise, the types of services I've delivered before, my achievements, and my scientific publications:
Outside of work, I usually spend my time writing, gaming, tinkering with IoT/3D modelling, or do strength training.
WORK EXPERIENCE
Education
IMPERIAL COLLEGE LONDON
MSc in Applied Computational Science and Engineering
~ Ranked #2 in the World (QS World University Rankings 2025 & 2026), awarded the fully funded LPDP ScholarshipUNIVERSITY OF INDONESIA
Postgraduate Studies in Environmental Science
(Energy & Sustainability)
~ Ranked #1 in Indonesia (Times Higher Education 2024-2026 & QS WUR 2023-2025), prior graduate courseworkBANDUNG INSTITUTE OF TECHNOLOGY
BSc in Earth Science and Technology, Meteorology
(Geospatial Data Science)
~ Top #1 for Engineering & Technology in Indonesia (QS WUR 2023 & 2025-2026)
| TECH STACKS | |
|---|---|
| Programming Languages: | Python, C++, Javascript |
| Libraries/Tools: | ML (Scikit-learn, TensorFlow, PyTorch, Keras, XGBoost, OpenCV) |
| NLP (NLTK, HuggingFace, spaCy) | |
| Visualization (Matplotlib, Seaborn, Pandas, NumPy, Plotly) | |
| Graph Networks (NetworkX, RGCNconv, HGTconv) | |
| Generative AI (GPT-4, Llama, Stable Diffusion/SDXL) | |
| LLM Framework (OpenAI, LangChain), Vertex AI, RAG (Retrieval-Augmented Generation) | |
| Databases: | PostgreSQL, BigQuery, MySQL, DBMS (DBeaver) |
| Development: | Code Editor (VS Code, Google Colab), Version Control (Git), Frontend Frameworks (Vue.js, React.js), Backend Frameworks (Flask, FastAPI, Django) |
| Deployment: | Compute Engine VM, Cloud Functions, Docker, Kubernetes |






